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Behavior and Mechanics of Multifunctional Materials XVII / Aimy Wissa, Mariantonieta Gutierrez Soto, Russell W. Mailen, editors.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Physical Description:
- 1 online resource
- Place of Publication:
- [Place of publication not identified] : SPIE, 2023.
- Summary:
- This PDF file contains the front matter associated with SPIE Proceedings Volume 12484, including the Title Page, Copyright information, Table of Contents and Conference Committee lists.
- Contents:
- Front Matter: Volume 12484
- Programmable Materials I
- Sequential logic in soft, multistable, and electroactive materials
- Complex sequential deformation using bistable mechanisms in series
- Photo-responsive liquid crystal elastomer logic gates processing optical information
- Impact-responsive layer based on encapsulated solid/liquid non-Newtonian polymers
- Mechanics of Multifunctional Materials
- Game theoretic simulations and entropy dynamics framework for modeling complex material interactions
- Finite difference modeling of heat diffusion on diffusion-limited aggregation generated fractal structures
- Piezoelectric ring-stack actuator characterization and modeling for high-bandwidth application
- Manufacturing of Multifunctional Materials
- On the electro-magnetic properties of combined carbon nanotube and carbon-coated iron nanoparticle-modified polymer composites
- An exploration of 3D printed freeform kerf structures
- Additive manufacturing of highly flexible impact wave propagation sensor
- Actuation Materials
- A novel deployable structure devised from a Kresling-Scissor interface
- Programmable Materials II
- The novel design of an energy dissipation device by bistability for structural bracing
- Design optimization of magneto-active elastomer unimorph actuator for shape programming
- Design approach to electroelastic composites
- Sensing Materials
- Responsive and sensing composites for impact mitigation and damage detection in soft body armors
- Data-Centric and AI-Enabled Multifunctional Materials
- Machine learning predictions and benchmarking of non-linear mechanical behavior of polymer composites
- Statistical reconstruction of heterogenous microstructures based on 2D images.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-5106-6076-3
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